標(biāo)題: Titlebook: Data Management, Analytics and Innovation; Proceedings of ICDMA Valentina Emilia Balas,Neha Sharma,Amlan Chakrabar Conference proceedings 2 [打印本頁(yè)] 作者: 閃爍 時(shí)間: 2025-3-21 19:58
書目名稱Data Management, Analytics and Innovation影響因子(影響力)
書目名稱Data Management, Analytics and Innovation影響因子(影響力)學(xué)科排名
書目名稱Data Management, Analytics and Innovation網(wǎng)絡(luò)公開度
書目名稱Data Management, Analytics and Innovation網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Data Management, Analytics and Innovation被引頻次
書目名稱Data Management, Analytics and Innovation被引頻次學(xué)科排名
書目名稱Data Management, Analytics and Innovation年度引用
書目名稱Data Management, Analytics and Innovation年度引用學(xué)科排名
書目名稱Data Management, Analytics and Innovation讀者反饋
書目名稱Data Management, Analytics and Innovation讀者反饋學(xué)科排名
作者: conspicuous 時(shí)間: 2025-3-21 23:59
https://doi.org/10.1007/978-1-4684-4250-2 truck of that area that the bin in his vicinity needs to be emptied. A shortest path to empty all the filled bins or the bins with the threshold level is also displayed on the mobile application that saves fuel and time and more work can be done. When the bin is filled or senses hazardous gas using作者: Ganglion-Cyst 時(shí)間: 2025-3-22 00:40
Building Aspectual Interpretations Online performance of the algorithm on the traffic network data from the city of Bratislava, Slovakia to prove that the inclusion of the modification does not hinder the original algorithm much. We also provide a visualization of the traffic network of the city of Ostrava, the Czech Republic to show the e作者: Medicare 時(shí)間: 2025-3-22 06:11 作者: patriot 時(shí)間: 2025-3-22 11:14
https://doi.org/10.1007/978-1-4612-5519-2to provide adequate support to the decision making process. BI represents a family of products that includes Data mining Algorithms, Data mining products for creating reports. Improving efficiency in this process is discussed in this work. The M-Clustering algorithm which is conceived in this work p作者: HARD 時(shí)間: 2025-3-22 14:32
Architecture and Representationscation problem. The data that is available in the form of tweets on twitter can easily frame the insight of the public attitude towards the particular tweet. The proposed work is well planned to design as well as implement the best hybrid method that includes Hybrid Kmeans/Modified Kmeans (MKmeans) 作者: HARD 時(shí)間: 2025-3-22 19:09
David Philipona,J. Kevin O’Reganfurther classified as top-down and bottom-up algorithms depending on strategy applied to identify subspaces. Initial clustering in case of top-down algorithms is based on full set of dimensions and it then iterates to identify subset of dimensions which can better represent the subspaces by removing作者: accordance 時(shí)間: 2025-3-22 23:47 作者: 愛(ài)花花兒憤怒 時(shí)間: 2025-3-23 02:04 作者: AGATE 時(shí)間: 2025-3-23 06:50
Smart Waste Management for Segregating Different Types of Wastes truck of that area that the bin in his vicinity needs to be emptied. A shortest path to empty all the filled bins or the bins with the threshold level is also displayed on the mobile application that saves fuel and time and more work can be done. When the bin is filled or senses hazardous gas using作者: 全部逛商店 時(shí)間: 2025-3-23 10:16 作者: CIS 時(shí)間: 2025-3-23 14:55 作者: 不感興趣 時(shí)間: 2025-3-23 21:19
Parallel Clustering for Data Mining in CRMto provide adequate support to the decision making process. BI represents a family of products that includes Data mining Algorithms, Data mining products for creating reports. Improving efficiency in this process is discussed in this work. The M-Clustering algorithm which is conceived in this work p作者: Iatrogenic 時(shí)間: 2025-3-23 22:50
Hybrid Kmeans with Improved Bagging for Semantic Analysis of Tweets on Social Causescation problem. The data that is available in the form of tweets on twitter can easily frame the insight of the public attitude towards the particular tweet. The proposed work is well planned to design as well as implement the best hybrid method that includes Hybrid Kmeans/Modified Kmeans (MKmeans) 作者: 儀式 時(shí)間: 2025-3-24 03:26
Subspace Clustering—A Surveyfurther classified as top-down and bottom-up algorithms depending on strategy applied to identify subspaces. Initial clustering in case of top-down algorithms is based on full set of dimensions and it then iterates to identify subset of dimensions which can better represent the subspaces by removing作者: 性冷淡 時(shí)間: 2025-3-24 09:18
Valentina Emilia Balas,Neha Sharma,Amlan ChakrabarPresents the latest research findings in the areas of data management and data analytics.Discusses state-of-the-art topics as well as the challenges and solutions for future development.Serves as a re作者: Gratuitous 時(shí)間: 2025-3-24 11:43 作者: Pericarditis 時(shí)間: 2025-3-24 16:39 作者: 檔案 時(shí)間: 2025-3-24 19:23
978-981-13-1401-8Springer Nature Singapore Pte Ltd. 2019作者: 平 時(shí)間: 2025-3-25 00:41 作者: modish 時(shí)間: 2025-3-25 05:28 作者: 壕溝 時(shí)間: 2025-3-25 11:34 作者: 音樂(lè)學(xué)者 時(shí)間: 2025-3-25 12:37
Emotional Consequences of Brain Injury can be solved in an efficient manner using quantum computer. Quantum computing uses properties of superposition and entanglement to solve complex problems like NP Hard, and by using them the quantum computer may find the solutions in faster manner compared to classical computers. Grover’s search is作者: 無(wú)法破譯 時(shí)間: 2025-3-25 18:34 作者: 我正派 時(shí)間: 2025-3-25 20:18
Building Aspectual Interpretations Online. A common method for the analysis of the vertices importance in a network is betweenness centrality. The centrality is computed using the information about the shortest paths that exist in a graph. This approach puts the importance on the edges that connect the vertices. However, not all vertices a作者: 任命 時(shí)間: 2025-3-26 01:12 作者: Watemelon 時(shí)間: 2025-3-26 07:09
Roberto G. de Almeida,Christina Manouilidouders provide significant services to its user for free of cost. Various privacy control mechanisms for users have been provided by OSNs to decide who can view their personal information. User’s sensitive information could be leaked even when privacy rules are properly set by the service providers. V作者: V洗浴 時(shí)間: 2025-3-26 10:05 作者: PALMY 時(shí)間: 2025-3-26 16:41 作者: Triglyceride 時(shí)間: 2025-3-26 19:01
Strategies in Language Learningreatest challenge of security threats, occurring in the exposure of enormous amount of data. This paper we are going to explain recent security risks, threats, and vulnerabilities with respect to Cloud Services, Big Data [with extra focus on EnCoRe system], Hadoop [with extra focus on HDFS] and thro作者: 愛(ài)社交 時(shí)間: 2025-3-27 00:24 作者: 調(diào)情 時(shí)間: 2025-3-27 04:20 作者: 阻礙 時(shí)間: 2025-3-27 08:35
David Philipona,J. Kevin O’Reganonal neural network to classify 40,000 images in the dataset into one of seven categories (disgust, fear, happy, angry, sad, neutral, surprise). In this project, we have designed deep learning Convolution Neural Network (CNN) for facial expression recognition and developed model in Theano and Caffe 作者: ENACT 時(shí)間: 2025-3-27 13:30
Architecture and Representations any item, administration, or identity. Social network data is one of the most effective and accurate indicators of public sentiment. Analysis of the mood of public on a particular social issue can be easily judged by several methods developed by the technicians. In this paper, analysis of the mood 作者: Ballad 時(shí)間: 2025-3-27 15:59 作者: 幻影 時(shí)間: 2025-3-27 20:04 作者: 諄諄教誨 時(shí)間: 2025-3-28 01:03
Improved Rotated Local Binary Patterning from high-end cameras in large image dataset. It aims to finding pictures of interest from an extensive picture database using the visual content of the pictures. “Content-based” implies that the hunt will break down the genuine content of the picture instead of the metadata, for example, tags, 作者: 斥責(zé) 時(shí)間: 2025-3-28 03:29
An Introduction to Quantum Search Algorithm and Its Implementation can be solved in an efficient manner using quantum computer. Quantum computing uses properties of superposition and entanglement to solve complex problems like NP Hard, and by using them the quantum computer may find the solutions in faster manner compared to classical computers. Grover’s search is作者: Fibrillation 時(shí)間: 2025-3-28 07:33
Smart Waste Management for Segregating Different Types of Wastesor manpower; in addition, the work is done appropriately as it decreases human intervention. The garbage management is one of the major problems as it causes many diseases if the garbage is not collected on time. Smart bins are used to collect all the garbage from a particular area until the bins ar作者: 腐敗 時(shí)間: 2025-3-28 14:26
Vertex Importance Extension of Betweenness Centrality Algorithm. A common method for the analysis of the vertices importance in a network is betweenness centrality. The centrality is computed using the information about the shortest paths that exist in a graph. This approach puts the importance on the edges that connect the vertices. However, not all vertices a作者: Mingle 時(shí)間: 2025-3-28 16:40 作者: 他去就結(jié)束 時(shí)間: 2025-3-28 21:21 作者: 忘恩負(fù)義的人 時(shí)間: 2025-3-28 23:00 作者: 受人支配 時(shí)間: 2025-3-29 05:36
Digital Data Preservation—A Viable Solutionrgue that migrating digital data on newer media at regular intervals will solve this issue. We have an even more important issue of digital data being inaccessible or not readable. This happens if software interpreting the data becomes obsolete. In such case the data is lost, as a bit stream is mean作者: Hyaluronic-Acid 時(shí)間: 2025-3-29 10:45 作者: aquatic 時(shí)間: 2025-3-29 11:33 作者: Coordinate 時(shí)間: 2025-3-29 17:48
Big Data Analytics Provides Actionable Insights into Ship Emissionse growth for any logistics company. The Port of Rotterdam (The Netherlands) is using big data analytics to gain actionable insights into these emissions. Our case study deals with the implementation of the emission calculations and reporting implemented in Hadoop. In the analytical setup we introduc作者: Additive 時(shí)間: 2025-3-29 19:47 作者: 令人心醉 時(shí)間: 2025-3-30 00:07
Hybrid Kmeans with Improved Bagging for Semantic Analysis of Tweets on Social Causes any item, administration, or identity. Social network data is one of the most effective and accurate indicators of public sentiment. Analysis of the mood of public on a particular social issue can be easily judged by several methods developed by the technicians. In this paper, analysis of the mood 作者: 改進(jìn) 時(shí)間: 2025-3-30 05:35
Subspace Clustering—A Surveygy, etc. As a result of the advances in the data gathering and data storage technologies, many a times a single data object is often represented by many attributes. Although more data may provide new insights, it may also hinder the knowledge discovery process by cluttering the interesting relations作者: 不易燃 時(shí)間: 2025-3-30 09:32 作者: 廚房里面 時(shí)間: 2025-3-30 12:44
Conference proceedings 2019ta management, artificial intelligence and data analytics, along with advances in network technologies. It discusses state-of-the-art topics as well as the challenges and solutions for future development. It includes original and previously unpublished international research work highlighting resear作者: 奇怪 時(shí)間: 2025-3-30 17:10 作者: 毀壞 時(shí)間: 2025-3-30 21:30 作者: Insulin 時(shí)間: 2025-3-31 01:46 作者: hankering 時(shí)間: 2025-3-31 09:05 作者: Nerve-Block 時(shí)間: 2025-3-31 10:13
Big Data Security Threats and Prevention Measures in Cloud and Hadoopcurity framework to improve security. This paper provides a literature review on security threats and privacy issues of big data, Hadoop concurrent processing. It also uses Verizon and Twilio which is familiar for its trustworthy implementation of the Hadoop using Amazon Simple Storage services (S3 services).作者: 使腐爛 時(shí)間: 2025-3-31 15:58
